Carrying Capacity Assessment of Tianjin Binhai New District by Artificial Neural Network

Author

Li Mingchang ; Si Qi ; Liang Shuxiu ; Sun Zhaochen

Author_Institution

Lab. of Environ. Protection in Water Transp. Eng., Tianjin Res. Inst. of Water Transp. Eng., Tianjin, China

fYear

2011

fDate

28-29 May 2011

Firstpage

1

Lastpage

3

Abstract

With the development of coastal region in Tianjin Binhai new district, environmental pollution, exhaustion of resources and ecological hazards are aggravated continuously. So for efficient utilization of resources and realization of sustainable development, study on the carrying capacity assessment of coastal region is the key means for guiding the management. This paper presents a Data-Driven Model (DDM) to establish carrying capacity of coastal region assessment model solved by artificial neural network. (ANN). The evaluation results work well in Tianjin Binhai new district.

Keywords

ecology; neural nets; pollution; sustainable development; Tianjin Binhai; artificial neural network; carrying capacity assessment; coastal region assessment model; data driven model; ecological hazard; environmental pollution; sustainable development; Artificial neural networks; Biological system modeling; Economic indicators; Mathematical model; Neurons; Numerical models; Sea measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-9855-0

Electronic_ISBN

978-1-4244-9857-4

Type

conf

DOI

10.1109/ISA.2011.5873460

Filename

5873460